000			04635nam a22003615i 4500
001			394320
003			ES-MaUEC
005			20230102123119.0
007			cr nn 008mamaa
008			221031s2022 sz | s |||| 0|eng d
020			_a9783031139093
024	7		_a10.1007/978-3-031-13909-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aQuantum Computer Music _bFoundations, Methods and Advanced Concepts _cedited by Eduardo Reck Miranda
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XVI, 464 páginas) _b371 ilustraciones, 199 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aChapter 1. Introduction To Quantum Computing(James Weaver) -- Chapter 2. Quantum Computer Music: Foundations And Initial Experiments(Eduardo R. Miranda) -- Chapter 3. An Introduction To Making Music With Quantum Algorithms(Euan J. Allen) -- Chapter 4. Exploring The Application Of Gate-Type Quantum Computational Algorithm For Music Creation And Performance(Satofumi Souma) -- Chapter 5. Quantum Cellular Automata Music(Eduardo R. Miranda) -- Chapter 6. A Quantum Natural Language Processing Approach To Music(Eduardo R. Miranda) -- Chapter 7. Towards Quantum-Computer Aided Composition(Omar Costa Hamido) -- Chapter 8. Quantum Music Playground(James Weaver) -- Chapter 9. Quantum Adiabatic Computing And Applications To Music(Jake M. Chuharski) -- Chapter 10. Applications Of Quantum Annealing To Music Theory(Özlem Salehi Köken) -- Chapter 11. Quantum Representation Of Sound(Eduardo R. Miranda) -- Chapter 12. Quantum Frequency Detector For Audio Files(Rajiv Mistry) -- Chapter 13. Making Sound With Light: Sound Synthesis With A Photonic Quantum Computer(Eduardo R. Miranda) -- Chapter 14. Quiko: Quantum Beat Generation(Scott Oshiro) -- Chapter 15. Playing Superconductive Qubits As Musical Synthesizers For Live Performance(Spencer Topel).
520			_aThis unique text/reference explores music with respect to quantum computing, a nascent technology that is advancing rapidly. Quantum computing promises to bring unprecedented higher speed and optimisation for running algorithms. Of course, this will benefit the music industry in one way or another, but also yield new approaches to musical creativity. There is a long history of research into using computers for music since the 1950s, and nowadays, computers are essential for the music economy. Indeed, it is very likely that quantum computers will impact the music industry in times to come. Consequently, a new area of research and development is emerging: quantum computer music. This unprecedented book examines this new field, introducing the fundamentals of quantum computing for musicians and the latest developments by pioneering practitioners. Each chapter focuses on innovative approaches that leverage the quantum-mechanical nature of quantum computing. Any additional theory required for understanding a given approach is supplied in the respective chapter, and plenty of references are provided. The book also includes some tutorials and walk-through examples, in addition to addressing scientific and aesthetic considerations. Written by pioneering experts, the present volume will serve as a first-of-its-kind reference for all those interested in or studying this fascinating and promising new field. Prof. Eduardo Reck Miranda is a composer and a professor in Computer Music at Plymouth University, UK, where he is a director of the Interdisciplinary Centre for Computer Music Research (ICCMR). His previous publications include the Springer titles Handbook of Artificial Intelligence for Music, Guide to Unconventional Computing for Music, Guide to Brain-Computer Music Interfacing and Guide to Computing for Expressive Music Performance.
700	1		_aMiranda, Eduardo Reck _eeditor literario _0(orcid)0000-0002-8306-9585 _1https://orcid.org/0000-0002-8306-9585 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031139086
776	0	8	_iPrinted edition: _z9783031139109
776	0	8	_iPrinted edition: _z9783031139116
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-13909-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394320 _d394320